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Artificial market actors: explorations of automated business interactions
Stockholm University, Faculty of Social Sciences, Stockholm Business School.
2001 (English)Doctoral thesis, monograph (Other academic)
Abstract [en]

Digital machines (computer hardware and software) have been used to support business activities for over 50 years. During the past 10 years, these machines have changed profoundly in terms of numbers, types of application, and features. Whereas academic marketing literature has clearly recognized this development, marketing research has concentrated on how people and organizations utilize digital machines to their advantage, indicating that the machines per se have not been the unit of analysis. This study explores how business interactions that are executed by contemporary digital machines influence marketing practices. Hence, the research is an effort to contribute to the development of marketing theories that acknowledge interactions from digital machines in a useful way. The investigation is guided by questions concerning human-likeness of digital machines, the role of such machine's in marketing practice, the relation between marketing theories and practice, and the usefulness of established theories in the present context. This dissertation consists of two parts: an introductory section that summarizes the investigations and relates the data to theory and four independent, but related, articles that make up the empirical component of the study. Each article approaches the research questions from different perspectives, that is, theoretical assumptions, marketing relationships, machine learning, and how selling is organized. The main conclusion is that digital machines have been equipped with cognitive and interactive skills to such a complex extent that it is useful to depict them as artificial market actors-hereafter referred to simply as artificials. The dissertation closes by outlining the theoretical and practical implications of the findings, describing the contributions of the present research, and suggesting areas for future research.

Place, publisher, year, edition, pages
Stockholm: School of Business, Stockholm University , 2001. , 205 p.
Series
Research reports / School of Business, Stockholms universitet, ISSN 1400-3279 ; 2001:15
Keyword [en]
Artificial intelligence, Electronic commerce
Keyword [sv]
Marknadsföring, Artificiell intelligens, Elektronisk handel
National Category
Business Administration
Research subject
Business Administration
Identifiers
URN: urn:nbn:se:su:diva-142301ISBN: 91-7265-357-4 (print)OAI: oai:DiVA.org:su-142301DiVA: diva2:1091959
Public defence
2001-11-09, 13:00 (English)
Opponent
Note

Diss. Stockholm : Stockholms universitet, 2001

xii s., s. 1-80: sammanfattning. s.81-205: 4 uppsatser

Available from: 2017-04-28 Created: 2017-04-28 Last updated: 2017-07-10Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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